[Apologies for cross posting]

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MULTI-Fake-DetectiVE @ EVALITA 2023

Final call for Participation

Task website, news and updates: 
https://sites.google.com/unipi.it/multi-fake-detective

Contacts: multifakedetective [at] gmail [dot] com

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We invite you to participate in the FIRST shared task on Multimodal Fake News 
Detection in Italian (MULTI-Fake-DetectiVE).
The shared task is aimed at broadening the horizon of research on 
disinformation in Italian by addressing both the textual and visual modalities.

MULTI-Fake-DetectiVE proposes two subtasks. Participants are allowed to 
participate in either task or both of them.

The evaluation window for both subtask is open until May 19! Test data 
available on the website.

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Tasks
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Task 1. Multimodal Fake News Detection
The task is structured as a multi-class classification problem in a multimodal 
setting.
Given a piece of content c = ⟨ t, v ⟩ including a textual component t and a 
visual component v (i.e., an image), classify it as being one of the following 
labels on a scale: Certainly Fake, Probably Fake, Probably Real, Certainly Real.

Task 2. Cross-modal relations in Fake and Real News
The task is aimed at assessing how the two modalities (i.e., textual and 
visual) relate to each other in the context of fake and real news.
The task is formulated as a three-class classification problem.
Given a piece of content c = ⟨ t, v ⟩ which includes a textual component t and 
a visual component v, decide whether their combination is misleading, not 
misleading in the interpretation of the information provided by either 
component, or the two are unrelated.

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Data
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The training and test datasets are available here: 
https://sites.google.com/unipi.it/multi-fake-detective/data

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Important Dates
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12th - 19th May 2023: evaluation window (started)
30th May 2023: assessment returned to participants
14th June 2023: final reports due to task organizers
10th July 2023: review deadline
25th July 2023: camera ready deadline
7th - 8th September 2023: final workshop in Parma

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Task Organizers
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Alessandro Bondielli, Department of Computer Science, University of Pisa
Pietro Dell'Oglio, Department of Information Engineering, University of Florence
Alessandro Lenci, Department of Philology, Literature, and Linguistics, 
University of Pisa
Francesco Marcelloni, Department of Information Engineering, University of Pisa
Lucia Passaro, Department of Computer Science, University of Pisa
Marco Sabbatini, Department of Philology, Literature, and Linguistics, 
University of Pisa





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